UnhcrRverse
Workshop on UNHCR R Packages
Intro
This workshop can not replace fact-sheet-able certifications like the self-paced R training offered through UNHCR Learn & Connect. Rather than learning R in general terms, the sessions will provide an overview of how R is being used and customized within UNHCR context.
Each of the 12 sessions (presentations & exercise) is organised to last one hour around a specific learning objective.
Hands-on Co-Dev sessions between the training facilitator and the operation country team on practical challenges will take place in the afternoon
Workshop Plan
Day 1 - Basics of R
Day 2 - R for Surveys
Day 3 - R for Reporting
Day 4 - R for Processes
Day 1 Morning - Basics of R
An introduction to Analysis Reproducibility
Data Manipulation and Visualization using {refugees} & {unchrthemes}, access data through API with {robotoolbox}, {rhdx}, {riddle}, {popdata}, {activityinfo-R}
From Scripts to Functions: An illustration with {unhcrplot}
Afternoon 1 - Hands-on
Using official Statistics to calculate indicators and build charts
Day 2 Morning - R for Surveys
Kobo Data Collection Management with {HighFrequencyChecks}
Kobo Survey Data Exploration with {KoboCruncher}
Indicator calculations for RMS with {IndicatorCalc}
Afternoon 2 - Hands-on
Working on UNHCR recent household survey dataset
Day 3 Morning - R for Reporting
Build and Automate Report with {unhcrdown} and Posit Connect: An example with weekly report
Tips to set up reproducible analysis pipeline
“Work as a Team”: Collaboration through Version Control on Github.
Afternoon 3 - Hands-on
Developing a presentation from a survey
Facilitating Data Interpretation
Day 4 Morning - R for Processes
Package building, Documentation & Testing with {fusen}, illustrated with {unhcrdataportal/}
Create Shiny Companion App creation with {Graveler}
Building Severity index: an overview of {A2SIT}
Afternoon 4 - Hands-on
Quick Dashboard creation with Shiny
Organizing data for severity index
